I've been trading on Polymarket for a while, and every time I wanted to
backtest a strategy or analyze past BTC up/down market behavior — I hit a
wall. There was simply no clean, structured historical dataset available.
So I built one myself.
I've been recording Polymarket's BTC prediction market data at 5-minute
intervals — capturing the real-time odds (up/down prices) that traders were
actually betting on. Over time, this became a surprisingly valuable dataset
for anyone doing quantitative research, building prediction models, or just
trying to understand how the crowd sentiment evolved around major price moves.
What started as a personal tool turned into something I realized others needed
too.
If you're a quant, a researcher, or just someone curious about prediction
market dynamics — I'd love to hear how you'd use this data. Happy to answer
any questions! 🚀
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About Polymarket Data on Product Hunt
“Raw Polymarket BTC data — up/down odds, every 5 minutes”
Polymarket Data was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. Free Polymarket BTC & ETH Up/Down historical data. 5-minute intervals, browse and preview instantly. No sign-up required.
Polymarket Data was featured in Crypto (39.5k followers), Web3 (7.7k followers) and Data & Analytics (5.5k followers) on Product Hunt. Together, these topics include over 18.3k products, making this a competitive space to launch in.
Who hunted Polymarket Data?
Polymarket Data was hunted by Yueh Lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Yueh Lee